Deep learning for vision systems

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"How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition."--Descripción del editor.

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Title Statements

Full title :Deep learning for vision systems / Mohamed Elgendy.

Summary

Edition Statements

Publication Date:c2020.

Publication Statements

Publisher(s):Manning Publications
Place of Publication:Shelter Island, NY
Language:eng
Publication Date:c2020.

Notes

Título tomado de la pantalla de presentación (visto 23 de marzo de 2022)

The Physical Object

Description:1 recurso en línea (xx, 458 p.) : : il.

Edition Identifiers

ISBN:9781638350415, 1638350418, 9781617296192, 1617296198
oclc:on1305063092
LC Classification:TA1634

Part 1. Deep learning foundation: Welcome to computer vision -- Deep learning and neural networks -- Convolutional neural networks -- Structuring DL projects and hyperparameter tuning -- Part 2. Image classification and detection: Advanced CNN architectures -- Transfer learning -- Object detection with R-CNN, SSD, and YOLO -- Part 3. Generative models and visual embeddings: Generative adversarial networks (GANs) -- DeepDream and neural style transfer -- Visual embeddings -- Appendix A. Getting set up.

Subjects

Computer vision Computer vision -- Mathematical models Image processing -- Mathematical models Procesamiento de imágenes -- Modelos ma… Traitement d'images -- Modèles mathémat… Vision par ordinateur Vision par ordinateur -- Modèles mathém… Visión por computadora Visión por computadora -- Modelos matem…